Digital Health Intelligence Scanner — Medtronic LABS

Leadership teams at Medtronic LABS needed timely, credible intelligence on digital health developments across 9 priority markets — but sourcing, verifying, and synthesizing that intelligence manually was slow, inconsistent, and impossible to scale. Critical signals were buried in noise, and executive time was being spent reading raw news rather than acting on insights.

I built an automated AI intelligence platform — a 7-step multi-agent pipeline that scrapes 100+ targeted queries across web, news, academic, donor, and government sources; scores each article for credibility (0.0–1.0) filtering out recycled press releases and AI-generated content; enriches it with country tags, health domain categories, urgency tier, and sentiment; classifies business impact (Critical / High / Medium / Low); writes country-level intelligence snapshots with strategic outlook and action items; generates a branded multi-page PDF executive brief; and emails a structured digest to opted-in leadership. The pipeline runs on a configurable schedule (default: every 2 days) or can be triggered manually from the dashboard for any subset of the 9 target countries.

Leadership now receives structured, AI-verified digital health intelligence across Sierra Leone, Bangladesh, Kenya, Rwanda, Ghana, India, Saudi Arabia, Tanzania, and Bhutan — automatically, every 2 days. Each article surfaces with an executive headline and a recommended action. Credibility scoring removes the noise. Decision-making shifted from reactive news browsing to proactive, prioritized intelligence delivery — without adding headcount.